Computational Scientist - Artificial Intelligence & Machine Learning

University of Chicago - Chicago, IL

Full-time - Mid Level

Chicago, IL

Educational Services

About the position

The University of Chicago Research Computing Center (RCC) is seeking an experienced Computational Scientist specializing in Scientific-AI and Machine Learning. This role focuses on developing software to support data acquisition, ingestion, and integration for research projects, while also assisting in the development of user interfaces and scalable back-end services. The successful candidate will work closely with faculty, post-docs, and graduate students to apply AI and machine learning techniques across various research domains, contributing to the advancement of scientific research at the university.

Responsibilities

• Support applications of Artificial Intelligence (AI) in various research disciplines and serve as the domain expert.
• Work closely with faculty to identify, develop, and implement useful computational methods and resources that support or advance their research.
• Independently and proactively propose and execute practical solutions to research challenges.
• Develop and implement AI and machine-learning based methods for different use cases: images, video, speech, unstructured text, etc.
• Develop, maintain, and support data analysis, AI and Machine Learning pipelines.
• Confidently solve regression, classification, clustering, forecasting, and anomaly detection problems using established machine learning techniques.
• Communicate highly technical information to numerous audiences, including faculty, students, researchers, and staff.
• Teach others and learn new techniques.
• Help faculty with grant proposals by contributing sections describing the interplay between research objectives and new or expanded data resources.
• Create and present tutorials, hands-on workshops, and documentation to train the research community.
• Develops and presents technical training materials and web-based documentation.
• Ensures timely systems support and updates.
• Assists in conducting information security assessments and risk analysis of computing environment.
• Evaluates past and present technologies to help develop new tools.
• Ensures all the new tools have been through quality control reviews.
• Perform other related work as needed.

Requirements

• Minimum requirements include a college or university degree in a related field.
• Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Nice-to-haves

• Ph.D. in computer science, computer engineering, data science, or similar.
• Experience with one or more machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience applying latest AI/ML techniques in computer vision and image classification analysis.
• Experience with one of more following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models.
• Experience using AI/ML techniques to solve real-world applications.
• Proficiency in Python.
• Experience with one or more Python libraries such as NumPy, Pandas, SciPy, Scikit-Learn, MatplotLib, Seaborn, geopy, NLTK.
• Experience with one or more high-level programming languages such as C/C++, Matlab, or R.
• Experience with Git and in general with version control.
• Experience with Linux/Unix.
• Experience with statistical and numerical methods.

Benefits

• Health insurance coverage
• Paid holidays
• Professional development opportunities
• Flexible scheduling